goose peek

goose peek — CS2 Stats

GB76561199117635392[U:1:1157369664]Steam profile ↗✓ No bans

2,479Tracked matches32%Win rate2021Tracked since
3,461Hours in CS10Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating5,771Light Blue band · top ~75.1% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 5,771 -2,444 3 Sept – 15 Oct · 17 days played
5,7718,757peak 8,7573 Sept15 Oct
9,516Peak Premier in tracked matches
21Days played since 2026-08-27

Premier CS Rating

  • 2,986 below peak (8,757)
  • -2,986 over 30 days · declining
  • Next: Blue band at 10,000 — 4,229 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,013), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate42.0%41.3%41.8%meets
Shot accuracy7.7%12.7%12.2%4.6% short
Kill/death ratio0.670.950.980.31 short
Match win rate35.2%42.6%43.3%8.0% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGgoose peekFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER5,771 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim56
Positioning56
Utility55

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateLLTLWWTLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · −1ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 730ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 679ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 679ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim5.6
Utility5.5
Positioning5.6
Opening Duels2.1
Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.6
Positioning5.6
Utility5.5
Mechanics7.7
Opening Duels4.7
Win Impact0.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time668ms−22ms
first ⅓ avg 690ms → last ⅓ avg 668ms
Headshot accuracy16.6%−1.8%
first ⅓ avg 18.4% → last ⅓ avg 16.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.16Best match rating · 13–6 · mirage, 17 Sept →
38%Best headshot accuracy · 13–6 · cache, 31 Aug →
500msFastest reaction time · 1–13 · ancient, 19 Sept →
13–2Biggest win · cache, 16 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 86% over 7dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC3615–2142%-0.01
cacheB2411–1346%-0.02
infernoD103–730%0.00
ancientB105–550%-0.01
anubisS76–186%-0.02
dust2D61–517%-0.01
nuke—43–175%-0.03
overpass—31–233%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,663Lifetime kills
0.67K/D
4,348Matches
35.2%Match win rate
42.0%Headshot % · Top 50% of Level 2 players
7.7%Shot accuracy
6,973MVPs
3,683Hours (in match)
3,495Bombs planted
741Bombs defused

Most-used weapons

AK-4721,507
AWP5,163
MAC-101,899
Knife1,409
SSG 081,135

Lifetime map wins

6,080inferno
3,948dust2
630nuke
441train
184lake
169cbble
133vertigo
112office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

229Matches
46%Win rate
0.77Avg K/D
76.3ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3352%0.8713.5
Dust22854%0.9413.9
Inferno1362%1.0216.9
Anubis1233%0.9014.2
Ancient1145%0.8212.4
Nuke540%0.7213.0
Overpass1100%1.1317.0
Vertigo10%0.7112.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.2%Headshot accuracy
33.2%Accuracy (enemy spotted)
31.1%Spray accuracy
84.7%Counter-strafing
10.5°Preaim
663msReaction time
56.2%T opening success
41.3%CT opening success
0.68Enemies flashed / flash
3.8%Flash assists
8.31HE damage / grenade
10.42Flashes / match

Recommended for you

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno14–160.0221%15 Oct →
cache12–160.0219%15 Oct →
mirage12–12-0.0414%15 Oct →
cache5–13-0.0617%15 Oct →
anubis13–4-0.0417%15 Oct →
ancient13–6-0.0111%14 Oct →
inferno15–15-0.029%14 Oct →
mirage11–13-0.0218%14 Oct →
cache10–13-0.0727%14 Oct →
mirage9–13-0.0521%14 Oct →
anubis13–30.0018%12 Oct →
cache6–13-0.0021%12 Oct →
nuke13–40.0129%12 Oct →
cache7–13-0.0323%12 Oct →
mirage10–13-0.0021%25 Sept →
mirage8–13-0.0011%25 Sept →
mirage6–13-0.047%24 Sept →
mirage10–13-0.0217%24 Sept →
dust29–13-0.0520%24 Sept →
mirage13–40.0420%24 Sept →
inferno13–80.0115%24 Sept →
mirage2–13-0.0113%23 Sept →
anubis13–7-0.029%23 Sept →
ancient13–40.0920%23 Sept →
mirage8–130.0118%23 Sept →
ancient13–4-0.0420%21 Sept →
inferno6–13-0.0719%21 Sept →
ancient3–13-0.018%21 Sept →
mirage5–13-0.0417%21 Sept →
overpass8–13-0.0615%20 Sept →
cache8–13-0.029%20 Sept →
mirage13–7-0.0416%20 Sept →
dust24–13-0.007%19 Sept →
mirage13–70.049%19 Sept →
mirage5–13-0.0821%19 Sept →
ancient1–13-0.0617%19 Sept →
cache13–40.0818%19 Sept →
anubis11–13-0.0623%19 Sept →
dust23–13-0.0611%17 Sept →
mirage13–60.1622%17 Sept →
anubis13–8-0.0014%17 Sept →
ancient13–11-0.087%17 Sept →
inferno5–130.006%17 Sept →
ancient9–13-0.036%17 Sept →
mirage1–10-0.0831%17 Sept →
cache7–6-0.017%17 Sept →
dust210–130.0419%16 Sept →
nuke13–3-0.0313%16 Sept →
overpass13–4-0.0413%16 Sept →
cache5–13-0.0512%16 Sept →
cache13–2-0.005%16 Sept →
mirage13–70.0311%16 Sept →
inferno9–130.0914%16 Sept →
mirage13–70.057%14 Sept →
mirage13–11-0.019%14 Sept →
mirage10–13-0.0813%14 Sept →
cache13–80.1112%14 Sept →
mirage11–13-0.0514%14 Sept →
anubis13–50.0126%14 Sept →
cache15–15-0.0115%14 Sept →
mirage7–130.016%12 Sept →
mirage9–13-0.0127%10 Sept →
nuke13–5-0.0420%10 Sept →
mirage13–10-0.0422%10 Sept →
cache8–13-0.0818%10 Sept →
mirage13–4-0.0114%10 Sept →
anubis13–9-0.015%10 Sept →
cache5–13-0.0517%10 Sept →
nuke9–13-0.0512%9 Sept →
dust28–13-0.0814%9 Sept →
mirage13–160.0418%9 Sept →
mirage7–130.0218%9 Sept →
ancient6–13-0.0614%9 Sept →
cache13–4-0.0613%9 Sept →
mirage13–110.0115%9 Sept →
dust213–60.1032%9 Sept →
inferno13–10-0.0222%7 Sept →
inferno13–16-0.0413%7 Sept →
cache13–10-0.0110%7 Sept →
mirage14–16-0.0721%7 Sept →
mirage7–13-0.0313%7 Sept →
ancient9–130.0012%5 Sept →
mirage13–30.0128%5 Sept →
cache9–13-0.0411%5 Sept →
cache5–13-0.0822%5 Sept →
cache13–90.0213%3 Sept →
ancient13–70.0610%3 Sept →
cache13–90.0227%3 Sept →
mirage13–110.0115%3 Sept →
cache13–6-0.0538%31 Aug →
mirage13–20.0112%31 Aug →
inferno6–130.0019%31 Aug →
cache13–9-0.0025%31 Aug →
overpass5–13-0.0222%31 Aug →
mirage13–3-0.0113%31 Aug →
mirage12–12-0.0419%30 Aug →
cache12–12-0.0514%30 Aug →
mirage13–60.0431%30 Aug →
cache13–70.0529%27 Aug →
inferno13–70.0216%27 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.